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Show Results For
- All HBS Web
(3,528)
- People (38)
- News (595)
- Research (1,877)
- Events (22)
- Multimedia (186)
- Faculty Publications (1,390)
- 13 Apr 2017
- News
Three men + software = l'Elysée?
- 23 Nov 2021
- Video
Senior Lecturer Kristin Mugford: Experiential
Alexandra C. Feldberg
Alexandra (Allie) Feldberg is an Assistant Professor of Business Administration in the Organizational Behavior Unit at Harvard Business School.
Professor Feldberg uses qualitative and quantitative methods to examine intersections between gender,... View Details
Mitchell Tang
Mitchell Tang graduated in 2016 from the University of Pennsylvania, where he completed dual-degrees in computational biology and economics as part of the Vagelos Program in Life Sciences and Management (LSM). While at Penn, Mitchell was involved in research at the... View Details
- 2014
- Working Paper
The Psycho-Social Benefits of Access to Contraception: Experimental Evidence from Zambia
By: Nava Ashraf, Marric Buessing, Erica Field and Jessica Leight
In a field experiment in Lusaka, Zambia, married couples in the catchment area of a family planning clinic were randomly assigned to either a treatment group (N=503) or a control group (N=768). Those in the treatment group received vouchers guaranteeing free and... View Details
Ashraf, Nava, Marric Buessing, Erica Field, and Jessica Leight. "The Psycho-Social Benefits of Access to Contraception: Experimental Evidence from Zambia." Working Paper, August 2014. (Under review.)
- 12 Mar 2015
- News
Maine retailer L.L. Bean plans to triple its stores
- 2023
- Working Paper
Efficient Discovery of Heterogeneous Quantile Treatment Effects in Randomized Experiments via Anomalous Pattern Detection
By: Edward McFowland III, Sriram Somanchi and Daniel B. Neill
In the recent literature on estimating heterogeneous treatment effects, each proposed method makes its own set of restrictive assumptions about the intervention’s effects and which subpopulations to explicitly estimate. Moreover, the majority of the literature provides... View Details
Keywords: Causal Inference; Program Evaluation; Algorithms; Distributional Average Treatment Effect; Treatment Effect Subset Scan; Heterogeneous Treatment Effects
McFowland III, Edward, Sriram Somanchi, and Daniel B. Neill. "Efficient Discovery of Heterogeneous Quantile Treatment Effects in Randomized Experiments via Anomalous Pattern Detection." Working Paper, 2023.
- 2007
- Working Paper
Choice, Rationality and Welfare Measurement
By: Jerry R. Green and Daniel A. Hojman
We present a method for evaluating the welfare of a decision maker, based on observed choice data. Unlike the standard economic theory of revealed preference, our method can be used whether or not the observed choices are rational. Paralleling the standard theory we... View Details
Green, Jerry R., and Daniel A. Hojman. "Choice, Rationality and Welfare Measurement." HKS Faculty Research Working Paper Series, No. 2144, November 2007.
- Article
The Importance of Being Causal
By: Iavor I Bojinov, Albert Chen and Min Liu
Causal inference is the study of how actions, interventions, or treatments affect outcomes of interest. The methods that have received the lion’s share of attention in the data science literature for establishing causation are variations of randomized experiments.... View Details
Keywords: Causal Inference; Observational Studies; Cross-sectional Studies; Panel Studies; Interrupted Time-series; Instrumental Variables
Bojinov, Iavor I., Albert Chen, and Min Liu. "The Importance of Being Causal." Harvard Data Science Review 2.3 (July 30, 2020).
- March 2000
- Case
People's Light and Theatre Company, The
Describes in operational detail the activities involved in creating a collaborative and artistic product. Parallels to companies in dynamic industries emerge from the management philosophies and artistic methods of the case protagonist, Artistic Director Abigail Adams. View Details
Keywords: Creativity; Service Operations; Business Strategy; Theater Entertainment; Fine Arts Industry
Austin, Robert D. "People's Light and Theatre Company, The." Harvard Business School Case 600-055, March 2000.
- April 1984 (Revised November 1988)
- Background Note
Statistical Quality Control for Process Improvement
Describes systematic methods for process debugging and improvement, based on statistical quality control. Examples are from manufacturing settings, but techniques are also useful for services and sales, and to quantity improvement as well as quality improvement. View Details
Bohn, Roger E. "Statistical Quality Control for Process Improvement." Harvard Business School Background Note 684-068, April 1984. (Revised November 1988.)
- 01 Jul 2013
- Research & Ideas
Crowdfunding a Poor Investment?
When Congress passed President Obama's JOBS Act in March 2012, one of the most intriguing provisions would enable crowdfunding—the ability for large groups of anonymous investors to fund startups. More than a year after the law was passed, however, the provision... View Details
- Article
Causal Inference in Accounting Research
By: Ian D. Gow, David F. Larcker and Peter C. Reiss
This paper examines the approaches accounting researchers use to draw causal inferences using observational (or non-experimental) data. The vast majority of accounting research papers draws causal inferences notwithstanding the well-known difficulties in doing so with... View Details
Gow, Ian D., David F. Larcker, and Peter C. Reiss. "Causal Inference in Accounting Research." Journal of Accounting Research 54, no. 2 (May 2016): 477–523.
- Research Summary
(Avalok @ Harvard)
Bhaskar's research program is aimed at applying and developing methods of computer science, social science and law to problems that significantly have both political and technical dimensions. (Avalok @ Harvard) is the primary vehicle for this research... View Details
- April 1961 (Revised April 1986)
- Background Note
Case of the Unidentified U.S. Industries, The
Examines the impact of the nature of an industry on: 1) general patterns of the need for funds (asset allocation); 2) the methods of meeting these needs; and 3) the financial results of most firms in the industry. View Details
Williams, Charles M. "Case of the Unidentified U.S. Industries, The ." Harvard Business School Background Note 261-001, April 1961. (Revised April 1986.)
- 18 Apr 2016
- News
Embracing Agile
- Web
MBA
Environments Through case method courses, FIELD projects, tech simulations, introspective exercises, and more, you will discover your potential and leave a more inspiring leader than you ever thought possible. Take a Seat in the Harvard... View Details
- January 1995
- Case
Understanding User Needs
By: Marco Iansiti and Ellen Stein
Presents an introduction to methods for understanding user needs in product development. Describes a number of techniques including the use of focus groups, interviews, questionnaires, the Kano method, Lead User analysis, the Product Value matrix, OFD, etc. Provides a... View Details
Keywords: Customer Satisfaction; Customer Value and Value Chain; Product Development; Mathematical Methods
Iansiti, Marco, and Ellen Stein. "Understanding User Needs." Harvard Business School Case 695-051, January 1995.